Acta Optica Sinica, Volume. 45, Issue 3, 0311001(2025)

Simplified Design of Super-Resolution Imaging System Based on Joint Optimization

Hong Lu1,2, Chao Wang1,2、*, Jianan Liu1, Qi Wang1, Zhuang Liu1, Haodong Shi1, and Hongyu Sun1
Author Affiliations
  • 1Institute of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, Jilin , China
  • 2School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, Jilin , China
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    Figures & Tables(19)
    Simplified design framework for super-resolution imaging system based on optical-digital co-optimization
    Image degradation convolution
    Solution of intersections between space rays and complex surface patterns
    Super-resolution reconstruction network structure for optically blurred images
    Generator structure
    Structure of discriminator
    Jointly optimized initial optical system structure
    Initial MTF curves
    Telescope system after lens deletion
    MTF curves after lens deletion
    Variation of PSNR with training epoch for restored image and scene image
    Variations of reconstructed images with training epoch
    Visualization comparison charts
    Visualization comparison images
    Visualization comparison images
    • Table 1. Average PSNR and SSIM of reconstructed and scene images

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      Table 1. Average PSNR and SSIM of reconstructed and scene images

      Evaluation criteriaDegraded imageReconstructed imageInitial optical system image
      PSNR18.0529.1729.25
      SSIM0.6140.9020.896
    • Table 2. Lens assembly tolerance

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      Table 2. Lens assembly tolerance

      ParameterTolerance typeDigital
      Lens assembly toleranceDecenter X /mm0.05
      Decenter Y /mm0.05
      Tilt X /(°)0.01667
      Tilt Y /(°)0.01667
    • Table 3. PSNR and SSIM of recovery images after introduction of assembly error

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      Table 3. PSNR and SSIM of recovery images after introduction of assembly error

      ParameterPSNRSSIM
      Maximum value270.82
      Minimum value300.97
    • Table 4. Comparison of reconstruction effects of different super-resolution networks

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      Table 4. Comparison of reconstruction effects of different super-resolution networks

      MethodPSNR/SSIM
      Set5Set14Track-1
      DUS-GAN27.79/0.8326.93/0.8127.74/0.83
      ESR-GAN29.26/0.8928.15/0.8629.33/0.82
      MM-RealSR23.79/0.7723.62/0.7123.52/0.73
      Ours29.41/0.9129.26/0.8929.37/0.88
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    Hong Lu, Chao Wang, Jianan Liu, Qi Wang, Zhuang Liu, Haodong Shi, Hongyu Sun. Simplified Design of Super-Resolution Imaging System Based on Joint Optimization[J]. Acta Optica Sinica, 2025, 45(3): 0311001

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    Paper Information

    Category: Imaging Systems

    Received: Oct. 14, 2024

    Accepted: Nov. 15, 2024

    Published Online: Feb. 21, 2025

    The Author Email: Wang Chao (nicklo19992009@163.com)

    DOI:10.3788/AOS241636

    CSTR:32393.14.AOS241636

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